Rudra Pratap Dhara
Senior Software Engineer III @ Zemoso Labs · AI Agents at Scale · Event-Driven Cloud Infra · Engineering Team Lead · Multimodal & Video-Gen · Learning Rust
Hyderabad, India
rudrapratapdharaai@gmail.com
Rudra Pratap Dhara is a Senior Software Engineer III at Zemoso Labs. With 5+ years in software engineering, and a climb from Software Engineer II to SSE III in three years, Rudra engineers an AI-native platform that automates regulatory document authoring for the life-sciences industry, working end to end across cloud infrastructure, event-driven pipelines, batch processing, large-scale migrations, and the build, validation and deployment of AI agents in production. Rudra leads cross-functional engineering teams spanning frontend, backend and QA, turning ambiguous product goals into reliable releases. Outside work, Rudra experiments with multimodal models and diffusion-based video generation, and is learning Rust to build high-performance infrastructure. Open to conversations with teams building agentic AI at scale.
Senior Software Engineer III
Zemoso Labs
- Responsible for the end-to-end cloud infrastructure of an AI document-automation platform: 9 containerized microservices across 3 isolated environments (dev, stage, prod), all defined as code.
- Architected AI agent deployment at scale. Queue-triggered agent workers scale from zero, sit behind 13 message queues with dead-letter recovery, and use gated dispatch and self-healing sweepers to recover stranded jobs.
- Built AI-agent validation into CI. Evaluation suites with LLM-as-judge scoring, plus full LLM tracing, run on every change so agent quality regressions are caught before release.
- Led a platform-wide LLM provider migration from framework-coupled chains to a unified gateway on managed cloud foundation models, done service by service with zero downtime.
- Built an autonomous SRE agent on the Claude Agent SDK. It triages production alarms on a schedule, follows runbook skills and publishes root-cause summaries to the team.
- Lead cross-functional engineering teams across frontend, backend and QA: sprint planning, design reviews, release sign-off and mentoring engineers across three disciplines.
- Run a production observability baseline of 66 alarms covering latency, saturation, queue backlog, consumer failures and security findings, routed to chat for fast response.
Senior Software Engineer II
Zemoso Labs
- Designed the AI quality-check engine. Rule-scoped AI verifiers check completeness, compliance and data integrity, and an async dependency resolver orders the checks.
- Ran schema migrations at scale: 86 versioned database migrations shipped across environments, including document versioning, real-time comment threads and access-control models.
- Built a change-set-based infrastructure pipeline with lint, validate, preview on PR, approval-gated prod execution and daily drift detection.
- Cut container build times to under 60 seconds and streamlined CI/CD across services that together ship 500+ tagged releases.
Senior Software Engineer I
Zemoso Labs
- Built event-driven batch pipelines for data-source ingestion, content generation and post-processing, each running as an independent queue-driven worker with retries and dead-letter queues.
- Shipped collaboration features end to end: threaded comments, notifications, document export and custom-domain transactional email.
- Hardened enterprise auth with multi-tenant SSO across 4 identity providers and pre-sign-up controls on serverless functions.
Software Engineer II
Zemoso Labs
- Built core backend services in Python/FastAPI and a NestJS data service for an AI document platform, from the first commit to production.
- Built the first LLM-backed content-generation and data-extraction workers, which became the foundation of the platform's agent layer.
- Contributed across a codebase backed by 23,000+ automated tests, with ~500 commits and 350K+ lines shipped across 15+ repositories.
Associate Software Engineer
Zemoso Labs
- Built a satellite-imagery detection platform for the AI-driven inspection product line of a Fortune 500 energy-technology company, owning it across backend, vision algorithms and frontend.
- Designed and built the backend services in Java / Spring Boot to ingest imagery, orchestrate detection jobs and serve results to operators.
- Developed Python computer-vision detection algorithms that turn raw satellite imagery into actionable asset-inspection findings.
- Built the operator-facing web app in React with a GraphQL API layer for querying detections on large geospatial datasets.
Software Engineer
Accenture
- Contributed to a large-scale drafting platform for one of the largest US telecom carriers, building and maintaining features used across its enterprise operations.
Independent AI Builder: Multimodal & Video Generation
Run diffusion-based video generation pipelines (ComfyUI, Wan video models) locally: VRAM tuning, LoRA workflows, compile-time optimizations. Explore agentic AI, LLM inference kernels and context engineering. Learning Rust to build low-latency, high-throughput infrastructure components.
Bachelor of Technology, Electronics and Computer Engineering
Jawaharlal Nehru Technological University (Anurag University under JNTUH) · CGPA 9.91 / 10
Attendee · Oct 24, 2026